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ORCIDAPWeb/WAIM 2023: Wuhan, China - Part III
- Xiangyu Song
, Ruyi Feng, Yunliang Chen, Jianxin Li, Geyong Min:
Web and Big Data - 7th International Joint Conference, APWeb-WAIM 2023, Wuhan, China, October 6-8, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14333, Springer 2024, ISBN 978-981-97-2386-7 - Yewen Li, Mingyuan Ge, Yucheng Ji, Mingyong Li:
Adaptive Graph Attention Hashing for Unsupervised Cross-Modal Retrieval via Multimodal Transformers. 1-15 - Ningchao Ge, Peng Peng, Jibing Wu, Lihua Liu, Haiwen Chen, Tengyun Wang:
Answering Property Path Queries over Federated RDF Systems. 16-31 - Peifan Shi, Youhuan Li, Wenjie Li, Xinhuan Chen:
Distributed Knowledge Graph Query Acceleration Algorithm. 32-47 - Xiu Fang, Chenling Shen, Guohao Sun, Hao Chen, Yating Tang:
Truth Discovery of Source Dependency Perception in Dynamic Scenarios. 48-63 - Xiu Fang, Yating Tang, Guohao Sun, Chenling Shen, Hao Chen:
Truth Discovery Against Disguised Attack Mechanism in Crowdsourcing. 64-79 - Rui Zhu, Chunhong Li, Anzhen Zhang, Chuanyu Zong, Xiufeng Xia:
Continuous Group Nearest Group Search over Streaming Data. 80-95 - Yunzhe An, Zhu Zhen, Rui Zhu, Tao Qiu, Xiufeng Xia:
Approximate Continuous Skyline Queries over Memory Limitation-Based Streaming Data. 96-110 - Yuxi Mi, Yiheng Sun, Jihong Guan, Shuigeng Zhou:
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection. 111-126 - Ruoyu Leng, Chunhui Feng, Chenxi Hao, Pingfu Chao, Junhua Fang:
PaTraS: A Path-Preserving Trajectory Simplification Method for Low-Loss Map Matching. 127-144 - Yuchen Xie, Yi-Jun Yang, Wei Zeng:
Coordinate Descent for k-Means with Differential Privacy. 145-158 - Mengxue Du, Shasha Li, Jie Yu, Jun Ma, Huijun Liu, Miaomiao Li, Bin Ji:
DADR: A Denoising Approach for Dense Retrieval Model Training. 159-173 - Shun Zheng, Shaoqing Wang, Lijie Zhang, Yao Zhang, Fuzhen Sun:
Multi-pair Contrastive Learning Based on Same-Timestamp Data Augmentation for Sequential Recommendation. 174-187 - Lingang Zhu, Yi Zhang, Gang Li:
Enhancing Collaborative Features with Knowledge Graph for Recommendation. 188-203 - Jiawei Zheng, Junying Chen, Yi Cai:
PageCNNs: Convolutional Neural Networks for Multi-label Chinese Webpage Classification with Multi-information Fusion. 204-219 - Qi Hang, Xuefeng Yan, Lina Gong:
MFF-Trans: Multi-level Feature Fusion Transformer for Fine-Grained Visual Classification. 220-234 - Tianbao Zhang, Yuan Cui, Zhenfei Yang, Shi Feng, Daling Wang:
Summarizing Doctor's Diagnoses and Suggestions from Medical Dialogues. 235-249 - Peizhong Hou, Haiyang Wang, Tianming Li, Junchi Yan:
HSA: Hyperbolic Self-attention for Sequential Recommendation. 250-264 - Nengyu Xia, Yixin Zhang, Wei Ren, Xianyi Chen:
CFGCon: A Scheme for Accurately Generating Control Flow Graphs of Smart Contracts. 265-279 - Yuanhao Zhang, Chengxin He, Longhai Li, Bingzhe Zhang, Lei Duan, Jie Zuo:
Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning. 280-295 - Qianwen Cheng, Hao Li, Dawei Wang, Yue Zhang, Zhaohui Peng:
LAF: A Local Depth Autoregressive Framework for Cardinality Estimation of Multi-attribute Queries. 296-311 - Hao Li, Qianwen Cheng, Zhaohui Peng, Yashu Tan, Zengzhe Chen:
MGCN-CT: Multi-type Vehicle Fuel Consumption Prediction Based on Module-GCN and Config-Transfer. 312-327 - Wei Hu, Heyuan Li, Fang Liu, Zhiyv Zhong:
Hardware and Software Co-optimization of Convolutional and Self-attention Combined Model Based on FPGA. 328-342 - Wei Hu, Zhiyv Zhong, Fang Liu, Heyuan Li:
FBCA: FPGA-Based Balanced Convolutional Attention Module. 343-357 - Ying Liu, Zhongshuai Zhang, Xiaochun Yang:
Multi-level Matching of Natural Language-Based Vehicle Retrieval. 358-372 - Jun Zou, Shulin Cao, Jing Wan, Lei Hou, Jianjun Xu:
Improving the Consistency of Semantic Parsing in KBQA Through Knowledge Distillation. 373-388 - Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong:
DYGL: A Unified Benchmark and Library for Dynamic Graph. 389-401 - Zekun Yao, Yang Song, Yinliang Yue, Jinzhou Liu, Zhixin Fan:
TrieKV: Managing Values After KV Separation to Optimize Scan Performance in LSM-Tree. 402-416 - Wenhe Xu, Jun Lu:
Bit Splicing Frequent Itemset Mining Algorithm Based on Dynamic Grouping. 417-432 - Liang Zhu, Hao Liu, Xin Song, Yonggang Wei, Yu Wang:
Entity Resolution Based on Pre-trained Language Models with Two Attentions. 433-448 - Yuquan Ding, Xujian Zhao:
A High-Performance Hybrid Index Framework Supporting Inserts for Static Learned Indexes. 449-463 - Fan Xiao, Wei Hong, Jiao Yin, Hua Wang, Jinli Cao, Yanchun Zhang:
A Study on Historical Behaviour Enabled Insider Threat Prediction. 464-476 - Hongyu Hu, Qilong Han, Zhiqiang Ma, Yukun Yan, Zuobin Xiong, Linyu Jiang, Yuemin Zhang:
PV-PATE: An Improved PATE for Deep Learning with Differential Privacy in Trusted Industrial Data Matrix. 477-491 - Jiaoyang Li, Zhixin Fan, Yinliang Yue, Zekun Yao, Jinzhou Liu, Jiang Zhou:
LayerBF: A Space Allocation Policy for Bloom Filter in LSM-Tree. 492-506 - Jinzhou Liu, Yinliang Yue, Jiang Zhou, Zhixin Fan, Zekun Yao:
HTStore: A High-Performance Mixed Index Based Key-Value Store for Update-Intensive Workloads. 507-521
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